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Adaptive Federated Optimization

29 February 2020

Sanjiv Kumar

Papers citing "Adaptive Federated Optimization"

50 / 815 papers shown

Title
Global Layers: Non-IID Tabular Federated Learning Yazan Obeidi FedML 99 0 0 29 May 2023
Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models Yuchao Gu Xintao Wang Jay Zhangjie Wu Yujun Shi Yunpeng Chen ... Shuning Chang Wei Wu Yixiao Ge Ying Shan Mike Zheng Shou DiffM 146 177 0 29 May 2023
Partially Personalized Federated Learning: Breaking the Curse of Data Heterogeneity Konstantin Mishchenko Rustem Islamov Eduard A. Gorbunov Samuel Horváth FedML 92 11 0 29 May 2023
Federated Learning for Semantic Parsing: Task Formulation, Evaluation Setup, New Algorithms Tianshu Zhang Changchang Liu Wei-Han Lee Yu-Chuan Su Huan Sun FedML 41 5 0 26 May 2023
Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Training Yi Shi Yingqi Liu Yan Sun Zihao Lin Li Shen Xueqian Wang Dacheng Tao FedML 113 10 0 24 May 2023
Federated Variational Inference: Towards Improved Personalization and Generalization Elahe Vedadi Joshua V. Dillon Philip Mansfield K. Singhal Arash Afkanpour Warren Morningstar FedML BDL 86 3 0 23 May 2023
Confidence-aware Personalized Federated Learning via Variational Expectation Maximization Junyi Zhu Xingchen Ma Matthew B. Blaschko FedML 68 24 0 21 May 2023
Can Public Large Language Models Help Private Cross-device Federated Learning? Wei Ping Yibo Jacky Zhang Yuan Cao Yue Liu H. B. McMahan Sewoong Oh Zheng Xu Manzil Zaheer FedML 117 40 0 20 May 2023
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape Yan Sun Li Shen Shi-Yong Chen Liang Ding Dacheng Tao FedML 93 35 0 19 May 2023
Convergence Analysis of Over-the-Air FL with Compression and Power Control via Clipping Haifeng Wen Hong Xing Osvaldo Simeone 72 1 0 18 May 2023
Faster Federated Learning with Decaying Number of Local SGD Steps Jed Mills Jia Hu Geyong Min FedML 48 10 0 16 May 2023
Federated Learning over Harmonized Data Silos Dimitris Stripelis J. Ambite FedML 61 2 0 15 May 2023
Understanding and Improving Model Averaging in Federated Learning on Heterogeneous Data Tailin Zhou Zehong Lin Jinchao Zhang Danny H. K. Tsang MoMe FedML 100 13 0 13 May 2023
Towards Building the Federated GPT: Federated Instruction Tuning Jianyi Zhang Saeed Vahidian Martin Kuo Chunyuan Li Ruiyi Zhang Tong Yu Yufan Zhou Guoyin Wang Yiran Chen ALM FedML 87 132 0 09 May 2023
Survey of Federated Learning Models for Spatial-Temporal Mobility Applications Yacine Belal Sonia Ben Mokhtar Hamed Haddadi Jaron Wang A. Mashhadi FedML 147 12 0 09 May 2023
Flame: Simplifying Topology Extension in Federated Learning Harshit Daga Jae-Kwang Shin D. Garg Ada Gavrilovska Myungjin Lee Ramana Rao Kompella AI4CE 78 11 0 09 May 2023
MrTF: Model Refinery for Transductive Federated Learning Xin-Chun Li Yang Yang De-Chuan Zhan 49 3 0 07 May 2023
Exploring One-shot Semi-supervised Federated Learning with A Pre-trained Diffusion Model Min Yang Shangchao Su Bin Li Xiangyang Xue DiffM 133 31 0 06 May 2023
WWFedCBMIR: World-Wide Federated Content-Based Medical Image Retrieval Zahra Tabatabaei Yuandou Wang Adrián Colomer Javier Oliver Moll Zhiming Zhao Valery Naranjo MedIm 32 10 0 05 May 2023
Federated Ensemble-Directed Offline Reinforcement Learning Desik Rengarajan N. Ragothaman D. Kalathil S. Shakkottai OffRL 93 1 0 04 May 2023
Efficient Personalized Federated Learning via Sparse Model-Adaptation Daoyuan Chen Fandong Meng Dawei Gao Bolin Ding Yaliang Li FedML 198 52 0 04 May 2023
Personalized Federated Learning under Mixture of Distributions Yue Wu Shuaicheng Zhang Wenchao Yu Yanchi Liu Quanquan Gu Dawei Zhou Haifeng Chen Wei Cheng FedML 134 47 0 01 May 2023
Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy Yi Shi Kang Wei Li Shen Yingqi Liu Xueqian Wang Bo Yuan Dacheng Tao FedML 97 3 0 01 May 2023
Hyperparameter Optimization through Neural Network Partitioning Bruno Mlodozeniec M. Reisser Christos Louizos 96 8 0 28 Apr 2023
JaxPruner: A concise library for sparsity research Jooyoung Lee Wonpyo Park Nicole Mitchell Jonathan Pilault J. Obando-Ceron ... Hong-Seok Kim Yann N. Dauphin Karolina Dziugaite Pablo Samuel Castro Utku Evci 120 17 0 27 Apr 2023
Mobilizing Personalized Federated Learning in Infrastructure-Less and Heterogeneous Environments via Random Walk Stochastic ADMM Ziba Parsons Fei Dou Houyi Du Zheng Song Jin Lu 100 3 0 25 Apr 2023
Federated Learning for Predictive Maintenance and Quality Inspection in Industrial Applications Viktorija Pruckovskaja Axel Weissenfeld Clemens Heistracher Anita Graser Julia Kafka P. Leputsch Daniel Schall J. Kemnitz FedML 60 12 0 21 Apr 2023
Federated Learning of Shareable Bases for Personalization-Friendly Image Classification Hong-You Chen Shitian Zhao Ruotong Wang Xuhui Jia Qi Boqing Gong Wei-Lun Chao Li Zhang FedML 94 7 0 16 Apr 2023
Gradient-less Federated Gradient Boosting Trees with Learnable Learning Rates Chenyang Ma Xinchi Qiu Daniel J. Beutel Nicholas D. Lane FedML 71 13 0 15 Apr 2023
Communication and Energy Efficient Wireless Federated Learning with Intrinsic Privacy Zhenxiao Zhang Yuanxiong Guo Yuguang Fang Yanmin Gong 70 6 0 15 Apr 2023
TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial Training Tuo Zhang Lei Gao Sunwoo Lee Mi Zhang Salman Avestimehr FedML 96 30 0 14 Apr 2023
FedTrip: A Resource-Efficient Federated Learning Method with Triplet Regularization Xujing Li Min Liu Sheng Sun Yuwei Wang Hui Jiang Xue Jiang 62 5 0 12 Apr 2023
Re-Weighted Softmax Cross-Entropy to Control Forgetting in Federated Learning G. Legate Lucas Caccia Eugene Belilovsky FedML 91 11 0 11 Apr 2023
A Communication-efficient Local Differentially Private Algorithm in Federated Optimization Syed Eqbal Alam Dhirendra Shukla Shrisha Rao FedML 62 2 0 04 Apr 2023
Benchmarking FedAvg and FedCurv for Image Classification Tasks Bruno Casella Roberto Esposito C. Cavazzoni Marco Aldinucci FedML 64 12 0 31 Mar 2023
Fair Federated Medical Image Segmentation via Client Contribution Estimation Meirui Jiang H. Roth Wenqi Li Dong Yang Can Zhao V. Nath Daguang Xu Qianming Dou Ziyue Xu FedML 74 53 0 29 Mar 2023
Clustered Federated Learning Architecture for Network Anomaly Detection in Large Scale Heterogeneous IoT Networks Xabier Sáez-de-Cámara Jose Luis Flores Cristóbal Arellano A. Urbieta Urko Zurutuza 76 62 0 28 Mar 2023
FedAgg: Adaptive Federated Learning with Aggregated Gradients Wenhao Yuan Xuehe Wang FedML 147 1 0 28 Mar 2023
Adaptive Federated Learning via New Entropy Approach Shensheng Zheng Wenhao Yuan Xuehe Wang Ling-Yu Duan FedML OOD 93 1 0 27 Mar 2023
Unimodal Training-Multimodal Prediction: Cross-modal Federated Learning with Hierarchical Aggregation Rongyu Zhang Xiaowei Chi Guiliang Liu Wenyi Zhang Yuan Du Fang Wang 93 11 0 27 Mar 2023
Neural Collapse Inspired Federated Learning with Non-iid Data Chenxi Huang Liang Xie Yibo Yang Wenxiao Wang Binbin Lin D. Cai FedML 127 3 0 27 Mar 2023
Green Federated Learning Ashkan Yousefpour Sheng Guo Ashish Shenoy Sayan Ghosh Pierre Stock Kiwan Maeng Schalk-Willem Kruger Michael G. Rabbat Carole-Jean Wu Ilya Mironov FedML AI4CE 106 10 0 26 Mar 2023
Make Landscape Flatter in Differentially Private Federated Learning Yi Shi Yingqi Liu Kang Wei Li Shen Xueqian Wang Dacheng Tao FedML 80 58 0 20 Mar 2023
FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System Weizhao Jin Yuhang Yao Shanshan Han Jiajun Gu Carlee Joe-Wong Yu Yang A. Avestimehr Chaoyang He FedML 121 59 0 20 Mar 2023
A Survey of Federated Learning for Connected and Automated Vehicles Vishnu Pandi Chellapandi Liangqi Yuan Stanislaw H. .Zak Ziran Wang FedML 76 37 0 19 Mar 2023
An Empirical Evaluation of Federated Contextual Bandit Algorithms Alekh Agarwal H. B. McMahan Zheng Xu FedML 109 2 0 17 Mar 2023
Making Batch Normalization Great in Federated Deep Learning Shitian Zhao Hong-You Chen Wei-Lun Chao FedML 144 11 0 12 Mar 2023
Memory-adaptive Depth-wise Heterogenous Federated Learning Kai Zhang Yutong Dai Hongyi Wang Eric P. Xing Xun Chen Lichao Sun FedML 80 8 0 08 Mar 2023
FedML Parrot: A Scalable Federated Learning System via Heterogeneity-aware Scheduling on Sequential and Hierarchical Training Zhenheng Tang Xiaowen Chu Ryan Yide Ran Sunwoo Lee Shaoshuai Shi Yonggang Zhang Yuxin Wang Alex Liang A. Avestimehr Chaoyang He FedML 70 10 0 03 Mar 2023
A Unified Momentum-based Paradigm of Decentralized SGD for Non-Convex Models and Heterogeneous Data Haizhou Du Chengdong Ni 38 1 0 01 Mar 2023